A Two-Step Algorithm for the Dynamic Reduction of Flexible Mechanisms

Cammarata, Alessandro; Sinatra, Rosario; Maddìo, Pietro Davide

doi:10.1007/978-3-030-00365-4_4

Cited by 13 publications

(9 citation statements)

References 13 publications

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“…A linear elastic model is not able to catch the finite deformation of the pipe [37]. All of that is also considered in the design of complex mechanical systems [38][39][40] that involved models with hysteresis [41,42] aimed to solve thermodynamic problems [43] and to perform dynamic analysis [44][45][46] and optimization [47][48][49] evaluating also the structural displacements.…”

Section: Mathematical Modelmentioning

confidence: 99%

Fluid–Structure Interaction Modeling Applied to Peristaltic Pump Flow Simulations

et al. 2019

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In this study, fluid–structure interaction (FSI) modeling was applied for predicting the fluid flow in a specific peristaltic pump, composed of one metallic roller and a hyperelastic tube pumping a viscous Newtonian fluid. Hyperelastic material dynamics and turbulence flow dynamics were coupled in order to describe all the physics of the pump. The commercial finite element software ABAQUS 6.14 was used to investigate the performance of the pump with a 3D transient model. By using this model, it was possible to predict the von Mises stresses in the tube and flow fluctuations. The peristaltic pump generated high pressure and flow pulses due to the interaction between the roller and the tube. The squeezing and relaxing of the tube during the operative phase allowed the liquid to have a pulsatile behavior. Numerical simulation data results were compared with one cycle pressure measurement obtained from pump test loop data, and the maximum difference between real and simulated data was less than 5%. The applicability of FSI modeling for geometric optimization of pump housing was also discussed in order to prevent roller and hose parts pressure peaks. The model allowed to investigate the effect of pump design variations such as tube occlusion, tube diameter, and roller speed on the flow rate, flow fluctuations, and stress state in the tube.

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Section: Mathematical Modelmentioning

confidence: 99%

Fluid–Structure Interaction Modeling Applied to Peristaltic Pump Flow Simulations

et al. 2019

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“…The elastodynamic model of the flexible ring truss support can be found using analytic techniques combined with matrix structural analysis [54][55][56][57], elliptic integrals [58,59], FEM models [60][61][62], and flexible multibody formulations [63].…”

Section: Flexible Ring Truss Supportmentioning

confidence: 99%

Tie-System Calibration for the Experimental Setup of Large Deployable Reflectors

et al. 2019

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The trade-off between the design phase and the experimental setup is crucial in satisfying the accuracy requirements of large deployable reflectors. Manufacturing errors and tolerances change the root mean square (RMS) of the reflecting surface and require careful calibration of the tie-rod system to be able to fit into the initial design specifications. To give a possible solution to this problem, two calibration methods—for rigid and flexible ring truss supports, respectively—are described in this study. Starting from the acquired experimental data on the net nodal co-ordinates, the initial problem of satisfying the static equilibrium with the measured configuration is described. Then, two constrained optimization problems (for rigid or flexible ring truss supports) are defined to meet the desired RMS accuracy of the reflecting surface by modifying the tie lengths. Finally, a case study to demonstrate the validity of the proposed methods is presented.

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“…This probably stems from the finiteness of the component mode set employed to obtain the reduced-order model. In [6][7][8][9][10], the authors investigated this problem by providing different planar and spatial examples based on beams.…”

Section: Introductionmentioning

confidence: 99%

Interface reduction in flexible multibody systems

Cammarata

2023

Theoretical and Applied Mechanics - AIMETA 2022

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Abstract. The problem of imposing the reference conditions in a floating frame of reference formulation is coupled with the necessity to reduce the interfaces to virtual nodes required to define the multibody joints. Two methods are implemented for rigid and interpolation multipoint constraints, and the reference condition matrix is derived employing all the interface dofs. The case study of a slider-crank mechanism is discussed to show how different sets of reference conditions can modify the system’s dynamics.

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A Two-Step Algorithm for the Dynamic Reduction of Flexible Mechanisms

Cited by 13 publications

References 13 publications

Fluid–Structure Interaction Modeling Applied to Peristaltic Pump Flow Simulations

Fluid–Structure Interaction Modeling Applied to Peristaltic Pump Flow Simulations

Tie-System Calibration for the Experimental Setup of Large Deployable Reflectors

Interface reduction in flexible multibody systems

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